About Me

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👋 Hi, I'm Said Obakrim

I'm a data scientist and statistician passionate about building models and tools that turn complex environmental and climate data into actionable insight. My work blends machine learning, statistical modeling, and domain knowledge to support real-world decision-making in public health, climate risk, and coastal dynamics.

🌍 What I Do

  • 🔬 Build space–time statistical models for simulating temperature, precipitation, and climate extremes
  • 🧠 Combine machine learning with geostatistics for environmental forecasting
  • 🛠 Develop open-source tools such as MSTWeatherGen
  • 📊 Translate complex data into intuitive visualizations and interactive products
  • 🎓 Contribute to scientific research, teaching, and mentoring in data science

🛠 Tools & Tech I Use

Languages: Python, R, Bash
Libraries: NumPy, scikit-learn, TensorFlow, Keras, JAX
Domains: Spatio-temporal statistics, extreme value theory, climate modeling, geostatistics
Deployment: GitHub Pages, R packages, scientific reproducibility

🧭 Currently

  • Postdoctoral researcher at the University of Lausanne
  • Working on probabilistic simulation of temperature scenarios in Switzerland
  • Exploring AI-enhanced weather generation methods

📬 Let’s connect!

Thanks for visiting! Feel free to explore my projects or check out my publications.